Camera models determination using multiple frames

Lee, H.-J.; Deng, Cailong

doi:10.1109/cvpr.1991.139674

Cited by 7 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wu and An [12] present an extrinsic calibration method based on a parametrically described lane marking in the vehicle coordinate system using an Extended Kalman Filter. In [13], the extrinsic parameters are estimated by analyzing multiple consecutive frames moving straightforward with known displacements in the world. Extracting the road boundaries and objects with vertical edges, the rotation angles are computed by assuming a known height of the camera.…”

Section: Previous Workmentioning

confidence: 99%

“…Therefore, many assumptions about the traffic scenes are employed: e.g. parallelism of the lane markings, known road width, flat road, known movement of the vehicle, straight lane markings, equal length and spacing between longitudinal discontinuous stripes [9], [10], [11], [12], [13]. A well-known and simple approach to estimate the yaw and pitch angle is based on the detection of the horizon point.…”

Section: Previous Workmentioning

confidence: 99%

See 1 more Smart Citation

A novel approach for the online initial calibration of extrinsic parameters for a car-mounted camera

Hold

Gormer

Kummert

et al. 2009

2009 12th International IEEE Conference on Intelligent Transportation Systems

View full text Add to dashboard Cite

This paper presents a novel approach for an online initial camera calibration to estimate the extrinsic parameters for vision-based intelligent driver assistance systems. The method uses the periodicity of dashed lane markings and velocity information to determine the extrinsic camera parameters: height, pitch and roll angle. A lane marking detector is utilized to convert the images of road scenes into a set of onedimensional time series. Thereby, the lane marking detector samples the markings at predefined vertical coordinates in the image, so-called scanlines. Based on a correlation analysis and velocity information, the spatial shift between the scanlines is determined. Thus, the distances along the longitudinal lane markings are measured in the coordinate system of the vehicle independently of camera mounting parameters. The GaussNewton algorithm is implemented to minimize the squared error between these estimated distances and the distances obtained by the backprojection to a ground plane using the parameter dependent pinhole camera model. Finally, the approach is evaluated using synthetic and real data with promising results.

show abstract

Section: Previous Workmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

A novel approach for the online initial calibration of extrinsic parameters for a car-mounted camera

Hold

Gormer

Kummert

et al. 2009

2009 12th International IEEE Conference on Intelligent Transportation Systems

View full text Add to dashboard Cite

show abstract

“…Assumptions on the structure of the road are commonly used as an alternative. The paper [5] assumes road boundaries to be straight and flat. Similarly, the work [6] assumes straight lane markings.…”

Section: Introductionmentioning

confidence: 99%

Automatic extrinsic camera self-calibration based on homography and epipolar geometry

Miksch

Yang

Zimmermann³

2010

2010 IEEE Intelligent Vehicles Symposium

View full text Add to dashboard Cite

In this paper we present a method to calibrate the extrinsic parameters of a monocular camera on a moving vehicle. The method is based on a homography between two camera shots. Therefore, only the road surface has to be visible in the pair of images. A reasonable definition of the vehicle coordinate system in combination with the use of epipolar geometry reduces the complexity to parameterize the underlying homography matrix. The extrinsic parameters are determined analytically by two correctly matched feature points located on the road surface. The final parameter set is determined by a recursive filter which considers various estimates over time. Results with a real-world video sequence indicate that the method is comparable to classical offline calibration techniques using objects of known geometry.

show abstract

Image analysis and computer vision: 1991

Rosenfeld¹

1992

CVGIP: Image Understanding

View full text Add to dashboard Cite

Camera models determination using multiple frames

Cited by 7 publications

References 10 publications

A novel approach for the online initial calibration of extrinsic parameters for a car-mounted camera

A novel approach for the online initial calibration of extrinsic parameters for a car-mounted camera

Automatic extrinsic camera self-calibration based on homography and epipolar geometry

Image analysis and computer vision: 1991

Contact Info

Product

Resources

About